
VALUE OF OPTICAL GENOME MAPPING (OGM) FOR DIAGNOSTICS OF RARE DISEASES: A FAMILY CASE REPORT Kovanda A1,2, Miljanović O3, Lovrečić L1,2, Maver A1,2, Hodžić A1,2, Peterlin B1,2,* *Corresponding Author: *Corresponding Author: Prof. Borut Peterlin, Clinical Institute of Genomic Medicine, University
Medical Centre Ljubljana, Šlajmerjeva 4, 1000 Ljubljana, Slovenia. borut.peterlin@kclj.si page: 87
|
RESULTS
Clinical characteristics
Characteristics of two male siblings (proband 1 and
proband 2) with an overlapping clinical presentation of
thrombocytopenia, sacrococcygeal teratoma, hydrone-
phrosis/reflux vesicoureteral and obesity, are shown in
Table 1.
Both parents and three sisters of the probands were
healthy and without any of the clinical signs and symptoms
shown in the probands, except for a few asymptomatic
episodes of borderline platelet values in the mother.
Karyotype analyses
Normal male karyotypes were detected for both male
siblings (Proband 1: 46, XY; Proband 2: 46, XY), with no
clonal abnormalities (30 metaphases), at the stated band
level of resolution. Karyotypes of the parents were also
normal (Mother: 46, XX; Father: 46, XY).
Microarray analyses
Microarray analyses of the proband 1 showed an
interstitial single copy gain of 18q12.2 region, approxi-
mately 459,7 kb in size in a male profile: arr[GRCh38] 18q12.2(38880911_39340584)×3 (arr[GRCh37]
18q12.2(36460875_36920548)×3). The identified dupli-
cation did not overlap with any known disease-causing
genes and was not present in the databases containing vari-
ants from healthy individuals (DGV), nor in the medical
literature or databases ClinGen, ClinVar, or DECIPHER.
Due to its size and rarity, the copy number gain was inter-
preted as a variant of unknown significance, and segrega-
tion analysis using arrays was recommended. Segregation
testing using microarrays in the mother and father of the
proband showed the presence of the same 18q12.2 copy
number gain in the mother of the proband. As the molecular
karyotyping showed the presence of the same interstitial
duplication of the 18q12.2 region in the proband and the
mother; arr[GRCh38] 18q12.2(38880911_39340584)×3m
at, and the duplication did not affect clinically important
genes, it was interpreted as a likely benign genomic variant,
and so clinical testing was continued to determine the cause
of the clinical presentation in the proband and his brother.
Exome sequencing
Exome sequencing was initially performed for pro-
band 1, as previously described13,14. The original gene panel
included >100 genes associated with thrombocytopenia
and hereditary thrombocytopenia including Wiskott-Al-
drich syndrome. The analysis did not identify any variants
that could explain the phenotype and therefore a reinter-
pretation of the exome sequencing data of proband 1 was
performed with an expansion to genes associated with the
additional phenotypes observed (Table 1). Despite adding
over 1500 genes to the analysis, no causative variants were
identified. Finally, exome sequencing in trio setup was performed for proband 2 and both parents with updated
gene panels. Despite including >2000 genes associated
with the clinical phenotypes, no conclusively causative
SNV variants or small indels could be identified. While the
duplication observed on the microarray analysis was appar-
ent from the coverage, no breakpoints could be identified
by exome sequencing. The full list of genes included in the
exome sequencing analysis is available in the Supplement.
Optical genome mapping
Optical genome mapping showed a translocation
between chromosomes X and 18, accompanied by a
duplication of the 18q12.2 region, of maternal origin in
both probands; ogm[GRCh38] t(X;18)(q27.1;q12.2)(14
0408784~140427850;38878133~39396298)mat,dup(18)
(18q12.2)(38927193_39426970)mat. The translocation
breakpoints and the associated duplication of the 18q12.2
region did not overlap any clinically significant genes
and are unlikely to be visible using classic karyotyping
methods. The accompanying 18q12.2 duplication was
approximately 499,7 kb in size, and was consistent with
the previously observed duplication in the proband 1, 2
and their mother using microarray analysis: arr[GRCh38]
18q12.2(38880911_39340584)×3mat (Figure 1).
Interpretation and segregation analysis
The translocation and accompanying duplication of
maternal origin do not directly affect genes known to cause
disease in humans. However, several genetic mechanisms
are known to influence the expression of nearby genes by
influencing regulatory regions or by topological means,
some promoting and some inhibiting expression 19–22.
Therefore, as described previously, we used the UCSC
Genome Browser Viewer to visualize our region of interest
in the context of neighboring genomic regions 12,23, how-
ever no obvious regulatory regions explaining the pheno-
type could be identified as being affected by the detected
translocation and accompanying duplication. However,
literature search revealed that the region of chromosome
18 involved in the rearrangement has previously been
described in the context of germinal translocation t(11;18)
(q22.1;q12.2), (ClinVar ID: 599287), where the transloca-
tion carriers also had age-dependent hypertension linked
to 11q22.1, as well as obesity 24. Additionally, somatic
translocations between chromosome X and chromosome
18 involving different breakpoints have been previously
described in synovial sarcomas (t(X;18)(p11.2;q11.2)),
including in a rare case with submandibular presentation
25,26, however, the exact breakpoints of the critical region
of 18q11.2 do not correspond to those identified in our
patients. Therefore, because of the lack of direct evidence
of pathogenicity, but because of the clinical match of the
probands, the involvement of the chromosome X in males
and a female with a very slight phenotype of transient
thrombocytopenia, and the size of regions possibly affected
indirectly, the translocation was classified as a variant
of unknown clinical significance. When we are unable
to provide final conclusions, extensive segregation may
prove beneficial to clarifying the classification of the vari-
ant, as recently described in case of a PLP1 duplication
by our group12. In case of variants involving chromosome
X in males, testing additional male family members may
provide additional information helpful to clinical clari-
fication, which is why we expanded the segregation to
include healthy brothers of the carrier mother. The results
of the segregation analysis are shown in Figure 2. None
of the four maternal uncles were carriers of this rare fa-
milial translocation, that remains a variant of unknown
significance.
Limitations
OGM requires a special isolation/extraction step,
producing ultra-long/high molecular weight DNA (hm-
wDNA) molecules, that are typically in the 200 kilobases
(kb) to megabase (Mb) range, in contrast to typical DNA
isolation protocols where the resulting DNA is usually up
to 20 kb in size. Therefore, archival DNA samples cannot
be used for OGM, and fresh extraction is needed. After
extraction, DNA is labeled across specific motifs using the
DLE-1 enzyme, while the backbone DNA is also labeled
using a special stain. The current technical limitations of
OGM concern the size of DNA required, DLE-1 labeling
limitations, and interpretation challenges. As large DNA
molecules are needed for this method, it currently cannot
be performed from archived DNA or FFPE, and therefore
fresh samples are needed. Furthermore, the method cannot
detect SV within regions that do not contain the DLE-1
labeling motif, such as Robertsonian translocations. Simi-
larly, regions spanning segmental duplications, e.g. on the
chrY chromosome can result in several alternative assem-
blies. The interpretation of genomic variants in terms of
pathogenicity is currently based on recommendations from
ACMG and the joint consensus of the American College of
Medical Genetics and Genomics (ACMG) and the Clinical
Genome Resource (ClinGen)15,27. However, many of the
different SVs detected by the OGM method, for example,
balanced translocations, inversions, etc. lack clear guide-
lines for classification, and so the interpretation of these
SVs needs to be carefully considered on a case-by-case
basis. The limited size of known normal OGM genetic
variation at the moment means, that many identified vari-
ants remain variants of unknown significance. Finally,
because of its novelty, there is a need to establish a larger
database of normal human genomic variation detected us-significance, highlighting the complexity of diagnostic
results in rare disease cases as well as the remaining limita-
tions of this technology. Hopefully, the future increase in
healthy control population OGM variants and the estab-
lishment of official guidelines on the clinical interpretation
of OGM variants will resolve many current interpretation
challenges.
|
|
|
|



 |
Number 27 VOL. 27 (2), 2024 |
Number 27 VOL. 27 (1), 2024 |
Number 26 Number 26 VOL. 26(2), 2023 All in one |
Number 26 VOL. 26(2), 2023 |
Number 26 VOL. 26, 2023 Supplement |
Number 26 VOL. 26(1), 2023 |
Number 25 VOL. 25(2), 2022 |
Number 25 VOL. 25 (1), 2022 |
Number 24 VOL. 24(2), 2021 |
Number 24 VOL. 24(1), 2021 |
Number 23 VOL. 23(2), 2020 |
Number 22 VOL. 22(2), 2019 |
Number 22 VOL. 22(1), 2019 |
Number 22 VOL. 22, 2019 Supplement |
Number 21 VOL. 21(2), 2018 |
Number 21 VOL. 21 (1), 2018 |
Number 21 VOL. 21, 2018 Supplement |
Number 20 VOL. 20 (2), 2017 |
Number 20 VOL. 20 (1), 2017 |
Number 19 VOL. 19 (2), 2016 |
Number 19 VOL. 19 (1), 2016 |
Number 18 VOL. 18 (2), 2015 |
Number 18 VOL. 18 (1), 2015 |
Number 17 VOL. 17 (2), 2014 |
Number 17 VOL. 17 (1), 2014 |
Number 16 VOL. 16 (2), 2013 |
Number 16 VOL. 16 (1), 2013 |
Number 15 VOL. 15 (2), 2012 |
Number 15 VOL. 15, 2012 Supplement |
Number 15 Vol. 15 (1), 2012 |
Number 14 14 - Vol. 14 (2), 2011 |
Number 14 The 9th Balkan Congress of Medical Genetics |
Number 14 14 - Vol. 14 (1), 2011 |
Number 13 Vol. 13 (2), 2010 |
Number 13 Vol.13 (1), 2010 |
Number 12 Vol.12 (2), 2009 |
Number 12 Vol.12 (1), 2009 |
Number 11 Vol.11 (2),2008 |
Number 11 Vol.11 (1),2008 |
Number 10 Vol.10 (2), 2007 |
Number 10 10 (1),2007 |
Number 9 1&2, 2006 |
Number 9 3&4, 2006 |
Number 8 1&2, 2005 |
Number 8 3&4, 2004 |
Number 7 1&2, 2004 |
Number 6 3&4, 2003 |
Number 6 1&2, 2003 |
Number 5 3&4, 2002 |
Number 5 1&2, 2002 |
Number 4 Vol.3 (4), 2000 |
Number 4 Vol.2 (4), 1999 |
Number 4 Vol.1 (4), 1998 |
Number 4 3&4, 2001 |
Number 4 1&2, 2001 |
Number 3 Vol.3 (3), 2000 |
Number 3 Vol.2 (3), 1999 |
Number 3 Vol.1 (3), 1998 |
Number 2 Vol.3(2), 2000 |
Number 2 Vol.1 (2), 1998 |
Number 2 Vol.2 (2), 1999 |
Number 1 Vol.3 (1), 2000 |
Number 1 Vol.2 (1), 1999 |
Number 1 Vol.1 (1), 1998 |
|
|